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Article

3 Citations

1,727 Views

15 Pages

Investigation of the Suitability of the DTV Method for the Online SoH Estimation of NMC Lithium-Ion Cells in Battery Management Systems

Jan Neunzling,
Philipp Hainke,
Hanno Winter,
David Henriques,
Matthias Fleckenstein and
Torsten Markus

Batteries2025, 11(1), 25;https://doi.org/10.3390/batteries11010025

13 January 2025

Investigating the temperature behavior of lithium-ion battery cells has become an important part of today’s research and development. The main reason for this is that the temperature profile of a battery cell changes during aging. By using Diff...

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Article

2 Citations

2,867 Views

15 Pages

Study on Adaptive Cycle Life Extension Method of Li-Ion Battery Based on Differential Thermal Voltammetry Parameter Decoupling

Zhixuan Wu,
Guorong Zhu,
Qian Wang,
Shengjie Yang,
Jing V. Wang and
Jianqiang Kang

Energies2021, 14(19), 6239;https://doi.org/10.3390/en14196239

30 September 2021

Battery aging leads to reduction in a battery’s cycle life, which restricts the development of energy storage technology. At present, the state of health (SOH) assessment technology, which is used to indicate the battery cycle life, has been widely s...

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Article

12 Citations

3,937 Views

20 Pages

Early Prediction of the Health Conditions for Battery Cathodes Assisted by the Fusion of Feature Signal Analysis and Deep-Learning Techniques

Wentao Wang,
Lisheng Zhang,
Hanqing Yu,
Xianbin Yang,
Teng Zhang,
Siyan Chen,
Fengwei Liang,
Huizhi Wang,
Xuekun Lu and
Shichun Yang
+ 1 author

Batteries2022, 8(10), 151;https://doi.org/10.3390/batteries8100151

1 October 2022

With rapid development of clean energy vehicles, the health diagnosis and prognosis of lithium batteries remain challenging for practical applications. Accurate state-of-health (SOH) and remaining useful life (RUL) estimation provides crucial informa...

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Article

24 Citations

4,885 Views

18 Pages

A Deep Learning Approach for State-of-Health Estimation of Lithium-Ion Batteries Based on a Multi-Feature and Attention Mechanism Collaboration

Bosong Zou,
Mengyu Xiong,
Huijie Wang,
Wenlong Ding,
Pengchang Jiang,
Wei Hua,
Yong Zhang,
Lisheng Zhang,
Wentao Wang and
Rui Tan

Batteries2023, 9(6), 329;https://doi.org/10.3390/batteries9060329

19 June 2023

Safety issues are one of the main limitations for further application of lithium-ion batteries, and battery degradation is an important causative factor. However, current state-of-health (SOH) estimation methods are mostly developed for a single feat...

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Article

27 Citations

7,420 Views

21 Pages

Lithium-Ion Battery State of Health Estimation with Multi-Feature Collaborative Analysis and Deep Learning Method

Xianbin Yang,
Bin Ma,
Haicheng Xie,
Wentao Wang,
Bosong Zou,
Fengwei Liang,
Xiao Hua,
Xinhua Liu and
Siyan Chen

Batteries2023, 9(2), 120;https://doi.org/10.3390/batteries9020120

8 February 2023

The accurate estimation of the battery state of health (SOH) is crucial for the dependability and safety of battery management systems (BMS). The generality of existing SOH estimation methods is limited as they tend to primarily consider information...

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